Multivariate Analysis of Agro-Morphological Traits in Rice (Oryza sativa L.) Germplasm from Morocco

Fathalah  Elwahab; Mohamed  Sedki; Sang-bok  Lee; Hanae  Marjaa; Siham  Belkacemi; Najiba  Brhadda; Rabea  Ziri

doi:10.5281/zenodo.23494476

6 3

Authors

Fathalah Elwahab Biotechnologies and Plant Protection, Faculty of Science, Ibn Tofail University, B.P. 133, Kenitra 14000, Morocco https://orcid.org/0000-0002-3154-361X
Mohamed Sedki Regional Center of Agricultural Research of Kenitra, B.P. 257, 14000, Kenitra, Morocco https://orcid.org/0000-0002-5377-1760
Sang-bok Lee Korea-Africa Food & Agriculture Cooperation Initiative (KAFACI), Rural Development Administration (RDA), Republic of Korea https://orcid.org/0000-0002-3655-0448
Hanae Marjaa Natural Resources and Sustainable Development Laboratory, Faculty of Sciences, Ibn Tofail University, Kenitra B.P. 242, Morocco https://orcid.org/0000-0002-4166-4853
Siham Belkacemi Natural Resources and Sustainable Development Laboratory, Faculty of Sciences, Ibn Tofail University, Kenitra B.P. 242, Morocco https://orcid.org/0000-0002-7863-6725
Najiba Brhadda Biotechnologies and Plant Protection, Faculty of Science, Ibn Tofail University, B.P. 133, Kenitra 14000, Morocco https://orcid.org/0000-0003-1994-0310
Rabea Ziri Biotechnologies and Plant Protection, Faculty of Science, Ibn Tofail University, B.P. 133, Kenitra 14000, Morocco https://orcid.org/0000-0002-5223-8235

DOI:

https://doi.org/10.5281/zenodo.23494476

Keywords:

Rice, Oryza sativa L, Agro-morphological, Genetic diversity, PCA, Morocco

Abstract

The assessment of agro-morphological diversity in rice (Oryza sativa L.) plays an important role in determining superior performing cultivars that adapt well to their environmental settings. The present study was carried out to investigate the genetic diversity and agronomic performance of 34 accessions of rice grown in the Moroccan environment through the application of both descriptive and multivariate statistical analysis methods. Ten agro-morphological characteristics, including plant height, number of tillers per plant, number of panicles per plant, panicle length, heading cycle, maturity cycle, thousand grain weight, grain weight, straw weight, and grain yield, were taken into account. As the result of the analysis of variance, it can be said that there is a certain level of difference among accessions according to many analyzed parameters, reflecting the existence of genetical variability of germplasm. The grain yield varied from 6.06 t/ha up to 12.44 t/ha. In order to classify diversity between such materials and establish relationships between them, the following analysis (PCA and clustering) was conducted. It must be noted that there were two main components of principal component analysis accounting for more than 50% of total variability related to productive characters and cultivation period. It should be highlighted that the best accessions among all investigated were KF190022 owing to the highest yield (12.44 t/ha), as well as KF190114 and KF190006 owing to their high agro-economic value. High correlations between panicle length, thousand-grain weight, and grain yield could be revealed on the basis of correlation analysis.

References

Acquaah, G. (2012). Principles of plant genetics and breeding (2nd ed.). Wiley-Blackwell.

Akhundzada, K., Murthy, P. V., Reddy, V. R., & Sathyanarayana, B. N. (2020). Standardization of cytokinins (BAP and kinetin) concentrations and their combination with NAA on regeneration through seeds in lime (Citrus aurantifolia). International Journal of Current Microbiology and Applied Sciences, 9(8), 1245–1252. https://doi.org/10.20546/ijcmas.2020.908.140

Elwahab, F., Sedki, M., Boukita, H., Karidioula, L. C., Brhadda, N., & Ziri, R. (2025a). Grouping rice varieties in Morocco based on key agronomic traits: A PCA and HCA approach. Journal of Water and Land Development, 65(IV–VI), 230–237. https://doi.org/10.24425/jwld.2025.154267

Elwahab, F., Sedki, M., Sock, M., Clément, K. L., Boukita, H., Brhadda, N., & Ziri, R. (2025b). Assessment of the agronomic performance of newly introduced rice varieties in Morocco. International Journal of Agriculture and Biology, 33, 330–401. https://doi.org/10.17957/IJAB/15.2291

FAO. (2023). FAOSTAT statistical database. Food and Agriculture Organization of the United Nations. https://www.fao.org/faostat/

Fageria, N. K., Barbosa Filho, M. P., Moreira, A., & Guimarães, C. M. (2011). Foliar fertilization of crop plants. Journal of Plant Nutrition, 32(6), 1044–1064. https://doi.org/10.1080/01904160902872826

Fu, P.-C., Gao, Q.-B., Zhang, F.-Q., Xing, R., Khan, G., Wang, J.-L., Liu, H.-R., & Chen, S.-L. (2016). Responses of plants to changes in the Qinghai–Tibetan Plateau and glaciations: Evidence from phylogeography of a Sibiraea (Rosaceae) complex. Biochemical Systematics and Ecology, 65, 72–82. https://doi.org/10.1016/j.bse.2016.01.006

Huang, X., et al. (2013). A map of rice genome variation reveals the origin of cultivated rice. Nature, 490(7421), 497–501. https://doi.org/10.1038/nature11532

IRRI. (2013). Rice knowledge bank. International Rice Research Institute. https://www.knowledgebank.irri.org

Kirchmann, H., & Bergström, L. (2001). Do organic farming practices reduce nitrate leaching? Communications in Soil Science and Plant Analysis, 32(7–8), 997–1028. https://doi.org/10.1081/CSS-100104101

Mohammadi, S. A., & Prasanna, B. M. (2003). Analysis of genetic diversity in crop plants—Salient statistical tools and considerations. Crop Science, 43(4), 1235–1248. https://doi.org/10.2135/cropsci2003.1235

Omer, A., Mulualem, D., Classen, H., Vatanparast, H., & Whiting, S. J. (2018). A community poultry intervention to promote egg and eggshell powder consumption by young children in Halaba Special Woreda, SNNPR, Ethiopia. Journal of Agricultural Science, 10(5), 1–12. https://doi.org/10.5539/jas.v10n5p1

Peng, S., Cassman, K. G., Virmani, S. S., Sheehy, J., & Khush, G. S. (2000). Yield potential trends of tropical rice since the release of IR8 and the challenge of increasing rice yield potential. Crop Science, 40(6), 1542–1549. https://doi.org/10.2135/cropsci2000.4061542x

Peng, S., Khush, G. S., Virk, P., Tang, Q., & Zou, Y. (2008). Progress in ideotype breeding to increase rice yield potential. Field Crops Research, 108(1), 32–38. https://doi.org/10.1016/j.fcr.2008.04.001

Ray, D. K., Mueller, N. D., West, P. C., & Foley, J. A. (2013). Yield trends are insufficient to double global crop production by 2050. PLOS ONE, 8(6), e66428. https://doi.org/10.1371/journal.pone.0066428

Roy, S., et al. (2015). Agro-morphological characterization and genetic diversity in rice germplasm. Journal of Crop Improvement, 29(3), 1–15.

Sadras, V. O. (2007). Evolutionary aspects of the trade-off between seed size and number in crops. Field Crops Research, 100(1), 15–24. https://doi.org/10.1016/j.fcr.2006.06.008

Sanni, K. A., Fawole, I., Ogunbayo, S. A., & Tia, D. D. (2012). Multivariate analysis of genetic diversity in lowland rice (Oryza sativa L.) germplasm. Journal of Crop Improvement, 26(4), 464–480. https://doi.org/10.1080/15427528.2011.653006

Seyoum, M., Alamerew, S., & Bantte, K. (2012). Genetic variability, heritability and genetic advance of yield and yield related traits in upland rice (Oryza sativa L.). Journal of Plant Sciences, 7(13), 1390–1397. https://doi.org/10.3923/jps.2012.1390.1397

Singh, R. K., & Chaudhary, B. D. (1985). Biometrical methods in quantitative genetic analysis. Kalyani Publishers.

Tanksley, S. D., & McCouch, S. R. (1997). Seed banks and molecular maps: Unlocking genetic potential from the wild. Science, 277(5329), 1063–1066. https://doi.org/10.1126/science.277.5329.1063

Multivariate Analysis of Agro-Morphological Traits in Rice (Oryza sativa L.) Germplasm from Morocco

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